Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
The visual display of quantitative information
The visual display of quantitative information
Envisioning information
Data characterization for intelligent graphics presentation
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Task-analytic approach to the automated design of graphic presentations
ACM Transactions on Graphics (TOG)
Automated generation of intent-based 3D Illustrations
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
On the knowledge underlying multimedia presentations
Intelligent multimedia interfaces
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
A classification of visual representations
Communications of the ACM
Designing visual interfaces: communication oriented techniques
Designing visual interfaces: communication oriented techniques
Top-down hierarchical planning of coherent visual discourse
Proceedings of the 2nd international conference on Intelligent user interfaces
Negotiation for automated generation of temporal multimedia presentations
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Visual explanations: images and quantities, evidence and narrative
Visual explanations: images and quantities, evidence and narrative
Visual task characterization for automated visual discourse synthesis
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Inventor Mentor: Programming Object-Oriented 3d Graphics with Open Inventor, Release 2
The Inventor Mentor: Programming Object-Oriented 3d Graphics with Open Inventor, Release 2
Visual Cues: Practical Data Visualization
Visual Cues: Practical Data Visualization
Artificial Intelligence
Managing Networks Through a Virtual World
IEEE Parallel & Distributed Technology: Systems & Technology
A Methodology for Choosing Data Representations
IEEE Computer Graphics and Applications
A Knowledge-Based System for Visualization Design
IEEE Computer Graphics and Applications
Automatic graphics environment synthesis
Automatic graphics environment synthesis
A differential approach to graphical interaction
A differential approach to graphical interaction
A problem-oriented classification of visualization techniques
VIS '90 Proceedings of the 1st conference on Visualization '90
Semiology of graphics
The representation and use of a visual lexicon for automated graphics generation
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
IMPROVISE: Automated Generation of Animated Graphics for Coordinated Multimedia Presentations
CMC '98 Revised Papers from the Second International Conference on Cooperative Multimodal Communication
The persuasive phase of visualization
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Applying machine learning to automated information graphics generation
IBM Systems Journal
| Hi-index | 0.00 |
Automated visual presentation systems should be able to design effective presentations forheterogeneous (quantitative and qualitative) information. They should also be able to work in static orinteractive environments and capable of employing a wide range of visual media and visual techniques.In this paper, we focus on three tasks in building visual production systems: establishing a thoroughunderstanding of the presentation-related characteristics of domain-specific information; classifyingseveral types of visual information and capturing their distinct syntactic, semantic, and pragmaticfeatures; and formulating a set of design principles.We define a data-analysis taxonomy to characterize heterogeneous information. In addition, we have modeled presentation context information such as audience identity to produce user-centered visual design. To utilize and manipulate visual information, we have classified it into visual objects and visual tools based on itsrole in the visual production process. To guide the visual design process, we have formulated a set ofdesign principles that ensure the expressiveness and effectiveness of a design. To test and evaluateour work, we have developed a prototype system called IMPROVISE based on the research results. We useexamples generated by IMPROVISE to illustrate how it constructs visual presentations.